Certificate of Graduate Study in Data Analytics for Water Resources

Program Overview

The aim of our Certificate of Graduate Study (CGS) in Data Analytics for Water Resources program is to educate students on understanding and developing advanced methods (e.g., physics- and process-based modeling, statistical, machine learning, deep learning and data visualization methods) to address critical water resources challenges such as:

• Drinking water treatment and access
• Recovery and treatment of wastewater
• Surface and groundwater management
• Adaptation to climate change and other hazards.

Concentrations

The Certificate of Graduate Study (CGS) in Data Analytics for Water Resources provides training and certification for graduate students in the use of modern data analytics tools for research and practical applications in water resources fields. The core courses are focused on data analytics theory and tools, with a range of elective courses to provide opportunities for students to focus on an area that meets their individual goals. The two core courses and a subset of elective courses are accessible to remote learners. 

Curriculum

The CGS  in Data Analytics for Water Resources requires 12 credits (four courses). Two of those courses are the core courses that all students must take, while the other two courses can be taken from a list of electives. Students must maintain a 3.0 average in these courses to receive the CGS. 

Required Core Coursework (6 credits):

Electives (6 credits needed):

(at least 3 credits must be from the Applications category)

Deadlines

NEED APPLICATION DEADLINES

Admissions

The CGS in Data Analytics for Water Resources has no prerequisites except that it is open only to UVM graduate students and non-Degree post-baccalaureate students who maintain a minimum of 3.00 GPA. 

Students seeking to enroll in the program are required to submit a short application to CEE Graduate Program Director Eric Hernandez, who will review and admit students into the certificate. Enrolled students are expected to have knowledge of statistics at the undergraduate level. Some engineering elective courses use basic concepts of hydraulics/fluid mechanics.

Outcomes

Students completing the CGS in Data Analytics for Water Resources program are expected to acquire a working knowledge of modern data analytics tools, and their research and practical applications in water resources fields. We expect students who graduate with this certificate to be well recruited by industry, government labs, and doctoral programs in diverse fields. 

Upon completion of the program, students will have skills to:

• Develop proficiency and be conversant in standard procedures and techniques for characterization of groundwater and surface water media at environmental sites.
• Apply statistical tools to reduce dimensionality of multivariate hydrological monitoring data sets and identify key indicator parameters or driving variables.
• Apply computational tools to assess status, patterns and trends for critical hydrological parameters and indicators over varying spatial and temporal scales.
• Synthesize and interpret hydrological data in a historical context and hydrogeologic setting to develop and visualize a conceptual site model.